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Browsing by Author "Idrees Magray M."

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    Citation - Scopus: 1
    Low-Cost Aip Array Design Using Machine Learning for Mmwave Mobile Systems
    (Institute of Electrical and Electronics Engineers Inc., 2021) Nakmouche M.F.; Idrees Magray M.; Allam A.M.M.A.; Fawzy D.E.; Lin D.B.; Tarng J.-H.
    Based on low-cost PCB solution, an array antenna in packaging (AiP) dedicated for mmWave mobile systems is designed using machine learning. The proposed antenna operates at 28 GHz (26.5 - 29.5 GHz) with a gain ranging from 8 dB to 15 dB in the operating bandwidth. The development process of the proposed AiP is assisted by machine learning for prediction of the optimal radiating patch's length and width in terms of resonance frequency. © 2021 Taiwan Microwave Association.
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